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Intermediate7 lessons · 5 hours

📊AI for Data & Analytics

Learn to analyze data, write SQL and create reports with AI.

What you'll learn

  • Generate SQL queries using natural language and AI
  • Clean, transform and prepare data with AI assistance
  • Create professional visualizations and dashboards
  • Understand analysis patterns: cohorts, funnels, A/B tests
  • Build automated reporting workflows

Who this is for

Analysts, marketers, product managers and anyone who works with data.

Syllabus

1

AI Meets Data

What AI can do with data, how to ask ChatGPT or Claude a data question, and how to upload a CSV and get answers without writing a single line of code.

25 min
2

SQL with AI

Describe what you want to know and AI writes the SQL query. Joins, aggregations, window functions — no syntax memorization required.

30 min
3

AI for Spreadsheets

Google Sheets + AI, Excel + Copilot. Formula generation, pivot tables, data cleaning and practical exercises with real datasets.

30 min
4

Data Visualization with AI

Create charts and dashboards by describing what you want. Claude artifacts, ChatGPT Code Interpreter and best practices for data storytelling.

30 min
5

Data Cleaning and Preparation

AI for deduplication, normalization, missing values. Regex generation and ETL patterns with AI assistance.

30 min
6

Common Analysis Patterns

Cohort analysis, funnel analysis, A/B test interpretation. How to prompt AI for each and when to trust AI analysis vs verify manually.

30 min
7

Automated Reporting

From ad-hoc questions to systematic reporting. Repeatable analysis workflows, templates, scheduling and stakeholder-ready outputs.

30 min

We also offer live workshops and custom training for teams.

Learn more about team training

PraktickAI

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